Task
Supervised Classification on nomao

Supervised Classification on nomao

Task 145854 Supervised Classification nomao 32334 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8666, kappa: 0.6731, kb_relative_information_score: 15695.5503, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8666, predictive_accuracy: 0.8667, prior_entropy: 0.863, recall: 0.8667, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6862, scimark_benchmark: 1837.7222, usercpu_time_millis: 77.872, usercpu_time_millis_testing: 2.293, usercpu_time_millis_training: 75.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9233, kappa: 0.8079, kb_relative_information_score: 24722.3476, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9264, predictive_accuracy: 0.9254, prior_entropy: 0.863, recall: 0.9254, relative_absolute_error: 0.2945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5069, scimark_benchmark: 1832.1165, usercpu_time_millis: 849.52, usercpu_time_millis_testing: 5.428, usercpu_time_millis_training: 844.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9269, kappa: 0.8175, kb_relative_information_score: 23349.4056, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9286, predictive_accuracy: 0.9284, prior_entropy: 0.863, recall: 0.9284, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5152, scimark_benchmark: 1831.1027, usercpu_time_millis: 390.548, usercpu_time_millis_testing: 11.548, usercpu_time_millis_training: 379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9237, kappa: 0.8092, kb_relative_information_score: 21465.2462, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9259, predictive_accuracy: 0.9255, prior_entropy: 0.863, recall: 0.9255, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5475, scimark_benchmark: 1850.8185, usercpu_time_millis: 335.409, usercpu_time_millis_testing: 10.463, usercpu_time_millis_training: 324.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9461, kappa: 0.8671, kb_relative_information_score: 26433.3103, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9461, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4497, scimark_benchmark: 1842.7105, usercpu_time_millis: 414.632, usercpu_time_millis_testing: 12.93, usercpu_time_millis_training: 401.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9182, kappa: 0.7945, kb_relative_information_score: 24243.9049, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.921, prior_entropy: 0.863, recall: 0.921, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.5149, scimark_benchmark: 1845.779, usercpu_time_millis: 652.123, usercpu_time_millis_testing: 7.114, usercpu_time_millis_training: 645.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8639, kappa: 0.6702, kb_relative_information_score: 17488.1631, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8661, predictive_accuracy: 0.8625, prior_entropy: 0.863, recall: 0.8625, relative_absolute_error: 0.5004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6861, scimark_benchmark: 1729.7355, usercpu_time_millis: 212.66, usercpu_time_millis_testing: 2.209, usercpu_time_millis_training: 210.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9193, kappa: 0.7973, kb_relative_information_score: 22226.2281, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9233, predictive_accuracy: 0.9218, prior_entropy: 0.863, recall: 0.9218, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.5381, scimark_benchmark: 1841.1108, usercpu_time_millis: 187.856, usercpu_time_millis_testing: 8.006, usercpu_time_millis_training: 179.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8727, kappa: 0.689, kb_relative_information_score: 17688.786, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8731, predictive_accuracy: 0.8722, prior_entropy: 0.863, recall: 0.8722, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6567, scimark_benchmark: 1850.2875, usercpu_time_millis: 449.919, usercpu_time_millis_testing: 10.668, usercpu_time_millis_training: 439.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9358, kappa: 0.8407, kb_relative_information_score: 25497.652, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4907, scimark_benchmark: 1843.3265, usercpu_time_millis: 153.443, usercpu_time_millis_testing: 0.998, usercpu_time_millis_training: 152.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8653, kappa: 0.6689, kb_relative_information_score: 15383.9094, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.865, predictive_accuracy: 0.8657, prior_entropy: 0.863, recall: 0.8657, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6924, scimark_benchmark: 1855.4813, usercpu_time_millis: 140.125, usercpu_time_millis_testing: 6.047, usercpu_time_millis_training: 134.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8616, kappa: 0.6582, kb_relative_information_score: 13768.9874, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8609, predictive_accuracy: 0.8629, prior_entropy: 0.863, recall: 0.8629, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.7162, scimark_benchmark: 1828.1011, usercpu_time_millis: 60.787, usercpu_time_millis_testing: 3.831, usercpu_time_millis_training: 56.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8585, kappa: 0.6518, kb_relative_information_score: 14957.862, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.858, predictive_accuracy: 0.8592, prior_entropy: 0.863, recall: 0.8592, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.7245, scimark_benchmark: 1822.7572, usercpu_time_millis: 26.802, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 25.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8582, kappa: 0.6547, kb_relative_information_score: 15579.1933, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8593, predictive_accuracy: 0.8573, prior_entropy: 0.863, recall: 0.8573, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7416, scimark_benchmark: 1850.2875, usercpu_time_millis: 124.951, usercpu_time_millis_testing: 2.946, usercpu_time_millis_training: 122.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.868, kappa: 0.6784, kb_relative_information_score: 17422.2675, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.869, predictive_accuracy: 0.8673, prior_entropy: 0.863, recall: 0.8673, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6811, scimark_benchmark: 1849.3742, usercpu_time_millis: 108.721, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 107.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.936, kappa: 0.8414, kb_relative_information_score: 25512.9, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9363, predictive_accuracy: 0.9367, prior_entropy: 0.863, recall: 0.9367, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4867, scimark_benchmark: 1853.9121, usercpu_time_millis: 277.931, usercpu_time_millis_testing: 1.618, usercpu_time_millis_training: 276.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5954, kb_relative_information_score: -3.9446, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5103, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1, scimark_benchmark: 1846.7502, usercpu_time_millis: 21.627, usercpu_time_millis_testing: 3.401, usercpu_time_millis_training: 18.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 28519.9706, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4103, scimark_benchmark: 1059.0106, usercpu_time_millis: 1089.927, usercpu_time_millis_testing: 1088.345, usercpu_time_millis_training: 1.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 28557.2695, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1060.1216, usercpu_time_millis: 1081.539, usercpu_time_millis_testing: 1079.834, usercpu_time_millis_training: 1.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1069.7068, usercpu_time_millis: 1029.636, usercpu_time_millis_testing: 1028.117, usercpu_time_millis_training: 1.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 28889.5254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1071.087, usercpu_time_millis: 989.882, usercpu_time_millis_testing: 988.18, usercpu_time_millis_training: 1.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 28519.9706, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4103, scimark_benchmark: 1793.3262, usercpu_time_millis: 540.47, usercpu_time_millis_testing: 539.626, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 29639.1611, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1774.2858, usercpu_time_millis: 488.347, usercpu_time_millis_testing: 487.645, usercpu_time_millis_training: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28799.4281, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1823.2627, usercpu_time_millis: 386.672, usercpu_time_millis_testing: 386.006, usercpu_time_millis_training: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 28673.9027, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074, scimark_benchmark: 1853.9121, usercpu_time_millis: 271.747, usercpu_time_millis_testing: 271.258, usercpu_time_millis_training: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1843.1261, usercpu_time_millis: 272.989, usercpu_time_millis_testing: 272.492, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29035.3008, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9563, prior_entropy: 0.863, recall: 0.9563, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.4015, scimark_benchmark: 1853.9121, usercpu_time_millis: 253.801, usercpu_time_millis_testing: 253.292, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28756.643, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 1856.1949, usercpu_time_millis: 261.685, usercpu_time_millis_testing: 261.192, usercpu_time_millis_training: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1831.1565, usercpu_time_millis: 259.153, usercpu_time_millis_testing: 258.546, usercpu_time_millis_training: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 28557.2695, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4096, scimark_benchmark: 1830.469, usercpu_time_millis: 276.615, usercpu_time_millis_testing: 276.125, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 28843.7655, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1859.1356, usercpu_time_millis: 262.749, usercpu_time_millis_testing: 262.249, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9537, kappa: 0.8864, kb_relative_information_score: 28634.2626, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081, scimark_benchmark: 1857.0384, usercpu_time_millis: 272.587, usercpu_time_millis_testing: 272.078, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29198.3305, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3997, scimark_benchmark: 1858.2223, usercpu_time_millis: 242.125, usercpu_time_millis_testing: 241.61, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 29639.1611, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1828.6161, usercpu_time_millis: 244.753, usercpu_time_millis_testing: 244.338, usercpu_time_millis_training: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9551, kappa: 0.8898, kb_relative_information_score: 28889.5254, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.955, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.4036, scimark_benchmark: 1857.1082, usercpu_time_millis: 250.37, usercpu_time_millis_testing: 249.884, usercpu_time_millis_training: 0.486,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9571, kappa: 0.8948, kb_relative_information_score: 29717.6661, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4051, scimark_benchmark: 1854.9533, usercpu_time_millis: 213.133, usercpu_time_millis_testing: 212.768, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 29639.1611, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.4024, scimark_benchmark: 1852.0126, usercpu_time_millis: 215.733, usercpu_time_millis_testing: 215.364, usercpu_time_millis_training: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1853.9849, usercpu_time_millis: 197.803, usercpu_time_millis_testing: 197.436, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1857.184, usercpu_time_millis: 198.654, usercpu_time_millis_testing: 198.287, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29898.528, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.4165, scimark_benchmark: 1853.9121, usercpu_time_millis: 198.342, usercpu_time_millis_testing: 197.973, usercpu_time_millis_training: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30005.6887, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1854.568, usercpu_time_millis: 192.956, usercpu_time_millis_testing: 192.584, usercpu_time_millis_training: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30127.8295, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4483, scimark_benchmark: 1846.6923, usercpu_time_millis: 189.73, usercpu_time_millis_testing: 189.363, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30127.8295, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4483, scimark_benchmark: 1852.9988, usercpu_time_millis: 186.52, usercpu_time_millis_testing: 186.152, usercpu_time_millis_training: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1854.0399, usercpu_time_millis: 176.474, usercpu_time_millis_testing: 176.109, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.953, kappa: 0.8848, kb_relative_information_score: 28519.9706, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4103, scimark_benchmark: 1850.3603, usercpu_time_millis: 275.887, usercpu_time_millis_testing: 275.387, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9535, kappa: 0.886, kb_relative_information_score: 28595.3673, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.4089, scimark_benchmark: 1822.3911, usercpu_time_millis: 293.696, usercpu_time_millis_testing: 293.164, usercpu_time_millis_training: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 28673.9027, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074, scimark_benchmark: 1854.4431, usercpu_time_millis: 271.02, usercpu_time_millis_testing: 270.524, usercpu_time_millis_training: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28756.643, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 1828.258, usercpu_time_millis: 250.875, usercpu_time_millis_testing: 250.41, usercpu_time_millis_training: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 28843.7655, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1857.5664, usercpu_time_millis: 261.896, usercpu_time_millis_testing: 261.389, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 29375.8935, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989, scimark_benchmark: 1829.1442, usercpu_time_millis: 245.431, usercpu_time_millis_testing: 244.897, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1856.6531, usercpu_time_millis: 221.4, usercpu_time_millis_testing: 220.885, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1825.7178, usercpu_time_millis: 176.115, usercpu_time_millis_testing: 175.748, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30005.6887, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283, scimark_benchmark: 1824.7487, usercpu_time_millis: 177.532, usercpu_time_millis_testing: 177.187, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1854.4431, usercpu_time_millis: 177.386, usercpu_time_millis_testing: 177.022, usercpu_time_millis_training: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1857.1082, usercpu_time_millis: 130.868, usercpu_time_millis_testing: 130.526, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9539, kappa: 0.8869, kb_relative_information_score: 28673.9027, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074, scimark_benchmark: 1825.7178, usercpu_time_millis: 294.449, usercpu_time_millis_testing: 293.901, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1827.287, usercpu_time_millis: 240.424, usercpu_time_millis_testing: 239.886, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9542, kappa: 0.8877, kb_relative_information_score: 28756.643, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059, scimark_benchmark: 1838.2759, usercpu_time_millis: 246.042, usercpu_time_millis_testing: 245.581, usercpu_time_millis_training: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9563, kappa: 0.8928, kb_relative_information_score: 29087.5359, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4008, scimark_benchmark: 1854.4431, usercpu_time_millis: 240.126, usercpu_time_millis_testing: 239.633, usercpu_time_millis_training: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9548, kappa: 0.889, kb_relative_information_score: 28843.7655, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9548, prior_entropy: 0.863, recall: 0.9548, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.4044, scimark_benchmark: 1832.884, usercpu_time_millis: 243.711, usercpu_time_millis_testing: 243.233, usercpu_time_millis_training: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9569, kappa: 0.8943, kb_relative_information_score: 29436.7383, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3991, scimark_benchmark: 1853.3841, usercpu_time_millis: 219.322, usercpu_time_millis_testing: 218.822, usercpu_time_millis_training: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9563, kappa: 0.8929, kb_relative_information_score: 29375.8935, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9563, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3989, scimark_benchmark: 1856.1949, usercpu_time_millis: 222.42, usercpu_time_millis_testing: 221.922, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 29802.83, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.4094, scimark_benchmark: 1853.3841, usercpu_time_millis: 200.853, usercpu_time_millis_testing: 200.498, usercpu_time_millis_training: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9571, kappa: 0.8947, kb_relative_information_score: 29500.7362, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3996, scimark_benchmark: 1853.9121, usercpu_time_millis: 195.919, usercpu_time_millis_testing: 195.449, usercpu_time_millis_training: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1855.4813, usercpu_time_millis: 171.11, usercpu_time_millis_testing: 170.746, usercpu_time_millis_training: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1817.8853, usercpu_time_millis: 168.387, usercpu_time_millis_testing: 168.026, usercpu_time_millis_training: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9538, kappa: 0.8866, kb_relative_information_score: 30231.7684, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.1133, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4759, scimark_benchmark: 1857.5664, usercpu_time_millis: 155.449, usercpu_time_millis_testing: 155.107, usercpu_time_millis_training: 0.342,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs